A novel method of estimating perceptive distance based on human factor for binocular image is proposed. Firstly, the stereo depth of binocular images are deduced. Then, subjective experiments are carried out to obtain the distance of human visual perception, and the difference between the perceptive distance and stereo depth is analyzed. Finally, the correlation between perceptual distance, stereo depth, and visual comfort is established using stereo comfort as a physiological factor, and the computational model for perceptive distance is built. Experiments are performed on a public dataset IVY. The results show that when the value of visual comfort is high, the mean absolute error and the root mean square error of the model prediction value are reduced by 0.004 9 and 0.007 3 respectively compared with the subjective evaluation value; and when the value of visual comfort is low, the mean absolute error and the root mean square error are reduced by 0.072 1, 0.059 4 respectively. It is shown that the results of the proposed model are closer to the human subjective perceived depth.